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                <h3>课程简介</h3>
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                        <img src="../../img/course/cv-basic.jpeg" alt=""> <!--在这里添加一张课程主图-->
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                        <h2>A01.计算机视觉基础</h2> <!--在这里修改课程描述-->
                        <h3>计算机视觉入门首选，帮你建立完整的视觉体系大纲。</h3>
                        <p>什么是计算机视觉？计算机视觉的基本任务有哪些？都用怎样的方法解决？
                            本课程将着眼于计算机视觉的基本框架，带领大家从最基础的必备图像处理技巧开始，
                            首先探索图片基本信息（诸如边缘、尺度不变的特征点，直线或基本图形的拟合、纹理等）的提取和应用。
                            然后,我们将一起着眼于计算机视觉的基本任务的解决方法，即分割问题、识别问题、检测问题。
                            同时，本课程也会带领大家进入立体视觉的世界，以运动恢复结构为例打开3D大门。</p>
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                <h3><br>视频资源</br></h3>
                <p><a href="https://www.bilibili.com/video/BV1nz4y197Qv/"> [全部视频点击此处]</a>
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                <h3>课程资源</h3>
                <p style="padding-bottom: 30px"><strong>若Github链接打不开，请使用Gitee或蓝奏云入口下载资源</strong></p>
                <p style="padding-bottom: 0"><strong>Github：&emsp;</strong><a href="https://github.com/CV-xueba/A01_cvclass_basic"> [课件]&nbsp;&nbsp;</a><a
                        href="https://github.com/CV-xueba/A01_cvclass_basic_exercise"> [作业]</a></p>
                <p style="padding-bottom: 0"><strong>Gitee：&emsp;</strong><a href="https://gitee.com/cv-xueba/A01_cvclass_basic/"> [课件]&nbsp;&nbsp;</a><a
                        href="https://github.com/CV-xueba/A01_cvclass_basic_exercise"> [作业]</a></p>
                <p><strong>蓝奏云：&emsp;</strong><a href="https://wwe.lanzoui.com/b01nn85ef"> [课件]&nbsp;&nbsp;</a><a
                        href="https://wwe.lanzoui.com/b01nn9cze"> [作业(打包)]&nbsp;&nbsp;</a><a href="https://wwe.lanzoui.com/ipcaCgugpmj">[课件打包]&nbsp;&nbsp;</a></p>

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                    <tr>
                        <th>任务点</th>
                        <th>摘要</th>
                        <th>资料下载</th>
                    </tr>
                    </thead>
                    <tbody>
                    <tr>
                        <td><b>01.课程引言</b></td>
                        <td>机器视觉概述，介绍人类视觉及视觉计算、研究内容与面临的困难、机器视觉应用</td>
                        <td>
                            <a href="https://raw.githubusercontent.com/CV-xueba/A01_cvclass_basic/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/01_introduction.pdf">[课件(Github)]</a>
                            <a href="https://gitee.com/cv-xueba/A01_cvclass_basic/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/01_introduction.pdf">[课件(Gitee)]</a>
                            <a href="https://wwe.lanzoui.com/iDWZkgu4y4d">[课件(蓝奏)]</a>
                        </td>
                    </tr>
                    <tr>
                        <td><b>02.卷积</b></td>
                        <td>图像处理基础之平滑与线性滤波</td>
                        <td>
                            <a href="https://raw.githubusercontent.com/CV-xueba/A01_cvclass_basic/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/02_filter.pdf">[课件(Github)]</a>
                            <a href="https://gitee.com/cv-xueba/A01_cvclass_basic/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/02_filter.pdf">[课件(Gitee)]</a>
                            <a href="https://wwe.lanzoui.com/iaqeegu4y9i">[课件(蓝奏)]</a>
                        </td>
                    </tr>
                    <tr>
                        <td><b>03.边缘提取</b></td>
                        <td>介绍边缘特征与canny算子</td>
                        <td>
                            <a href="https://raw.githubusercontent.com/CV-xueba/A01_cvclass_basic/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/03_edge.pdf">[课件(Github)]</a>
                            <a href="https://gitee.com/cv-xueba/A01_cvclass_basic/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/03_edge.pdf">[课件(Gitee)]</a>
                            <a href="https://wwe.lanzoui.com/ipZi6gu4yaj">[课件(蓝奏)]</a>
                        </td>
                    </tr>
                    <tr>
                        <td><b>04.拟合</b></td>
                        <td>最小二乘拟合、霍夫变换、RANSAC</td>
                        <td>
                            <a href="https://raw.githubusercontent.com/CV-xueba/A01_cvclass_basic/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/04_least%20squares%26ransac.pdf">[课件1(Github)]</a>
                            <a href="https://raw.githubusercontent.com/CV-xueba/A01_cvclass_basic/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/05_hough.pdf">[课件2(Github)]</a>
                            <a href="https://gitee.com/cv-xueba/A01_cvclass_basic/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/05_hough.pdf">[课件1(Gitee)]</a>
                            <a href="https://gitee.com/cv-xueba/A01_cvclass_basic/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/03_edge.pdf">[课件2(Gitee)]</a>
                            <a href="https://wwe.lanzoui.com/iuVROgu4ygf">[课件1(蓝奏)]</a>
                            <a href="https://wwe.lanzoui.com/i0snQgu4yih">[课件2(蓝奏)]</a>
                        </td>
                    </tr>
                    <tr>
                        <td><b>05.Harris角点</b></td>
                        <td>介绍Harris角点特征</td>
                        <td>
                            <a href="https://raw.githubusercontent.com/CV-xueba/A01_cvclass_basic/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/06_corner.pdf">[课件(Github)]</a>
                            <a href="https://gitee.com/cv-xueba/A01_cvclass_basic/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/06_corner.pdf">[课件(Gitee)]</a>
                            <a href="https://wwe.lanzoui.com/i0snQgu4yih">[课件(蓝奏)]</a>
                        </td>
                    </tr>
                    <tr>
                        <td><b>06.尺度不变区域与sift特征</b></td>
                        <td>介绍高斯二阶偏导与尺度不变性、基于高斯差分的尺度不变区域提取、SIFT描述符征</td>
                        <td>
                            <a href="https://raw.githubusercontent.com/CV-xueba/A01_cvclass_basic/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/07_blob.pdf">[课件(Github)]</a>
                            <a href="https://gitee.com/cv-xueba/A01_cvclass_basic/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/07_blob.pdf">[课件(Gitee)]</a>
                            <a href="https://wwe.lanzoui.com/iGQJYgu4yji">[课件(蓝奏)]</a>
                        </td>
                    </tr>
                    <tr>
                        <td><b>07.纹理</b></td>
                        <td>介绍滤波器与局部纹理表征、通过纹理基元的池化纹理表征</td>
                        <td>
                            <a href="https://raw.githubusercontent.com/CV-xueba/A01_cvclass_basic/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/08_texture.pdf">[课件(Github)]</a>
                            <a href="https://gitee.com/cv-xueba/A01_cvclass_basic/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/08_texture.pdf">[课件(Gitee)]</a>
                            <a href="https://wwe.lanzoui.com/iPAFlgu4ync">[课件(蓝奏)]</a>
                        </td>
                    </tr>
                    <tr>
                        <td><b>08.分割任务</b></td>
                        <td>介绍人类视觉分组与格式塔原理、基于聚类的图像分割、基于图论的图像分割、图像分割的应用</td>
                        <td>
                            <a href="https://raw.githubusercontent.com/CV-xueba/A01_cvclass_basic/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/09_Segmentation.pdf">[课件(Github)]</a>
                            <a href="https://gitee.com/cv-xueba/A01_cvclass_basic/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/09_Segmentation.pdf">[课件(Gitee)]</a>
                            <a href="https://wwe.lanzoui.com/i2KJYgu4yqf">[课件(蓝奏)]</a>
                        </td>
                    </tr>
                    <tr>
                        <td><b>09.识别任务与词袋模型</b></td>
                        <td>介绍图像特征、词袋模型、图像分类</td>
                        <td>
                            <a href="https://raw.githubusercontent.com/CV-xueba/A01_cvclass_basic/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/10_Classification.pdf">[课件(Github)]</a>
                            <a href="hhttps://gitee.com/cv-xueba/A01_cvclass_basic/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/10_Classification.pdf">[课件(Gitee)]</a>
                            <a href="https://wwe.lanzoui.com/iWjMxgu4yti">[课件(蓝奏)]</a>
                        </td>
                    </tr>
                    <tr>
                        <td><b>10.目标检测</b></td>
                        <td>基于滑动窗口的目标检测方法：AdaBoost人脸检测，基于HOG特征的行人检测</td>
                        <td>
                            <a href="https://raw.githubusercontent.com/CV-xueba/A01_cvclass_basic/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/11_Detection.pdf">[课件(Github)]</a>
                            <a href="https://gitee.com/cv-xueba/A01_cvclass_basic/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/11_Detection.pdf">[课件(Gitee)]</a>
                            <a href="https://wwe.lanzoui.com/i9kz7gu4xng">[课件(蓝奏)]</a>
                        </td>
                    </tr>
                    <tr>
                        <td><b>11.三维重建任务与摄像机模型</b></td>
                        <td>三维重建任务简述，小孔成像模型，摄像机内参数与外参数</td>
                        <td>
                            <a href="https://raw.githubusercontent.com/CV-xueba/A01_cvclass_basic/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/12_%E6%91%84%E5%83%8F%E6%9C%BA%E5%87%A0%E4%BD%95.pdf">[课件(Github)]</a>
                            <a href="https://gitee.com/cv-xueba/A01_cvclass_basic/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/12_%E6%91%84%E5%83%8F%E6%9C%BA%E5%87%A0%E4%BD%95.pdf">[课件(Gitee)]</a>
                            <a href="https://wwe.lanzoui.com/i269Ugu4xoh">[课件(蓝奏)]</a>
                        </td>
                    </tr>
                    <tr>
                        <td><b>12.摄像机标定、三维重建基础、极几何</b></td>
                        <td>讲述相机的几何标定，两视图几何，基础矩阵与本质矩阵</td>
                        <td>
                            <a href="https://raw.githubusercontent.com/CV-xueba/A01_cvclass_basic/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/13_%E6%91%84%E5%83%8F%E6%9C%BA%E6%A0%87%E5%AE%9A.pdf">[课件1(Github)]</a>
                            <a href="https://raw.githubusercontent.com/CV-xueba/A01_cvclass_basic/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/14_%E6%9E%81%E5%87%A0%E4%BD%95.pdf">[课件2(Github)]</a><br>
                            <a href="https://gitee.com/cv-xueba/A01_cvclass_basic/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/13_%E6%91%84%E5%83%8F%E6%9C%BA%E6%A0%87%E5%AE%9A.pdf">[课件1(Gitee)]</a>
                            <a href="https://gitee.com/cv-xueba/A01_cvclass_basic/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/14_%E6%9E%81%E5%87%A0%E4%BD%95.pdf">[课件2(Gitee)]</a>
                            <a href="https://wwe.lanzoui.com/iclx9gu4xqj">[课件1(蓝奏)]</a>
                            <a href="https://wwe.lanzoui.com/iSWuxgu4xsb">[课件2(蓝奏)]</a>                        </td>
                    </tr>
                    <tr>
                        <td><b>13.运动恢复结构</b></td>
                        <td>介绍运动恢复结构算法（sfm为主）</td>
                        <td>
                            <a href="https://raw.githubusercontent.com/CV-xueba/A01_cvclass_basic/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/15_%E8%BF%90%E5%8A%A8%E6%81%A2%E5%A4%8D%E7%BB%93%E6%9E%84.pdf">[课件(Github)]</a>
                            <a href="https://gitee.com/cv-xueba/A01_cvclass_basic/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/15_%E8%BF%90%E5%8A%A8%E6%81%A2%E5%A4%8D%E7%BB%93%E6%9E%84.pdf">[课件(Gitee)]</a>
                            <a href="https://wwe.lanzoui.com/iZ2vqgu4xwf">[课件(蓝奏)]</a>
                        </td>
                    </tr>

                    <tr>
                        <td><b>14.课程总结</b></td>
                        <td>总结本课</td>
                        <td>
                            <a href="https://raw.githubusercontent.com/CV-xueba/A01_cvclass_basic/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/16_%E6%80%BB%E7%BB%93%E7%AF%87.pdf">[课件(Github)]</a>
                            <a href="https://gitee.com/cv-xueba/A01_cvclass_basic/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E5%9F%BA%E7%A1%80_%E8%AF%BE%E4%BB%B6/16_%E6%80%BB%E7%BB%93%E7%AF%87.pdf">[课件(Gitee)]</a>
                            <a href="https://wwe.lanzoui.com/iaOCRgu4y3c">[课件(蓝奏)]</a>
                        </td>
                    </tr>
                    <tr class="table-active"> <!--作业这里可以变个颜色，更容易划分，采用class=active(灰色）的形式-->
                        <td><b>动手实践01</b></td>
                        <td>钱币检测</td>
                        <td>
                            <a href="https://github.com/CV-xueba/A01_cvclass_basic_exercise">[作业(Github)]</a>
                            <a href="https://gitee.com/cv-xueba/A01_cvclass_basic_exercise">[作业(Gitee)]</a>
                        </td>
                    </tr>
                    <tr class="table-active">
                        <td><b>动手实践02</b></td>
                        <td>词袋模型图片分类</td>
                        <td>
                            <a href="https://github.com/CV-xueba/A01_cvclass_basic_exercise">[作业(Github)]</a>
                            <a href="https://gitee.com/cv-xueba/A01_cvclass_basic_exercise">[作业(Gitee)]</a>
                        </td>
                    </tr>
                    <tr class="table-active">
                        <td><b>动手实践03</b></td>
                        <td>待发布请稍候…</td>
                        <td>
                            <a href="https://github.com/CV-xueba/A01_cvclass_basic_exercise">[作业(Github)]</a>
                            <a href="https://gitee.com/cv-xueba/A01_cvclass_basic_exercise">[作业(Gitee)]</a>
                        </td>
                    </tr>
                    <tr class="table">
                        <td><b>书籍推荐</b></td>
                        <td>1. 计算机视觉：一种现代方法， David A. Forsyth、Jean Ponce著，高永强等译，中国工信出版集团，2017<br>2. Multi-view
                            geometry in computer vision，Richard Hartley and Andrew Zisserman, Cambridge University
                            Press，2004<br>3. 数字图像处理（第三版），冈萨雷斯等著，阮秋琦等译，电子工业出版社，2012<br></td>
                        <td>
                            <!--                                <a href="https://github.com/CV-xueba/A01_cvclass_basic_exercise">[作业资源]</a>-->
                            <!--<a href="https://pan.baidu.com/s/1jsIt1CPbgJjGop2RdoKL6A">[课件(百度云))]</a><br>
                         <a href="../../resources/courses/cvanddl/1.1/examplefile.pdf">[参考论文1(直接下载)]</a>-->
                        </td>
                    </tr>
                    <!-- <tr>
                        <td><b>课程 2.1 课程名</b></td>
                        <td>简介</td>
                        <td>
                            <a href="../../resources/courses/cvanddl/1.1/examplefile.pdf">[课件(Github)]</a>
                            <a href="https://wwe.lanzoui.com/iIT5Je850cj">[课件(蓝奏云))]</a><br>
                            <a href="../../resources/courses/cvanddl/1.1/examplefile.pdf">[参考论文1(直接下载)]</a>
                        </td></tr> -->
                    </tbody>
                </table>
            </div>


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